TCAS Algorithm using Time and Sector Recognition for UAS

• Main Authors: Fang-JuLee, 李芳如
• Other Authors: Chin-E Lin
• Format: Others
• Language: en_US
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/15712351992666303011

碩士 === 國立成功大學 === 民航研究所 === 101 === The development of unmanned aerial aircrafts (UAVs) has made great progress recently for its broad uses in disaster rescue missions or civilian applications. UAV may joint operation in missions with manned aircraft, mostly by helicopter. A suitable traffic alert and collision avoidance system (TCAS) is important. This thesis uses the concept of automatic dependent surveillance-broadcast (ADS-B) to establish a collision avoidance system for UAVs and helicopter. The proposed detection algorithm creates sectors to describe their possible variation for UAV and helicopter; its radius is calculated by time and speed. It uses overlapping of area for threat and conflict assessments. This thesis set up a cheese cake detection model in horizontal and vertical plane and uses overlapped area to establish an avoidance collision maneuver. The real flight experiment uses the ultra light aircraft (ULA) to simulate helicopter and UAV. And the maneuver uses the true flight path to execute the simulation verification experiment. The result had confirmed the feasible development of TCAS for UAV and helicopter in mission airspace.